Switching between multiplexing and diversity in MIMO systems with QoS provisioning

Multiple-input multiple-output (MIMO) wireless communication systems can significantly improve the spectrum efficiency or transmission reliability through spatial multiplexing or diversity respectively.Most of previous works mainly have focused on the multiplexing-diversity tradeoff or switching between multiplexing and diversity without considering the property of heterogeneous QoS provisioning.In this paper,switching between multiplexing and diversity in MIMO system with the heterogeneous QoS provisioning is studied.Firstly the QoS provisioning for users are classified into two classes:users with real time service requirement and users with non-real time service requirement respectively.Then based on the heterogeneous QoS Provisioning for users,two different switching criterions are proposed,switching based on the Euclidean distance for users with real time service to minimize the probability of symbol error and capacity-based switching criterion for users with non-real time service to maximize the transmission capacity respectively.Finally,numerical simulation results are illustrated to demonstrate the performance of proposed scheme.

Statistical QoS Provisioning Architecture for 6G Satellite-Terrestrial Integrated Networks

The emergence of massive ultra-reliable and low latency communications (mURLLC) as a category of age/time/reliability-sensitive service over 6G wireless networks has received considerable research attention, which has presented unprecedented challenges. As one of the key enablers for 6G,satellite-terrestrial integrated networks (STIN) have been developed to offer more expansive connectivity and comprehensive 3D coverage in space-aerial-terrestrial domains for supporting 6G mission-critical mURLLC applications while fulfilling diverse and rigorous quality of service (QoS) requirements. In the context of these mURLLC-driven satellite services, data freshness assumes paramount importance, as outdated data may engender unpredictable or catastrophic outcomes.To effectively measure data freshness in satellite-terrestrial integrated communications,age of information(AoI)has recently surfaced as a new dimension of QoS metric to support time-sensitive applications. It is crucial to design new analytical models that ensure stringent and diverse QoS metrics bounded by different key parameters,including AoI,delay,and reliability,over 6G satellite-terrestrial integrated networks. However,due to the complicated and dynamic nature of satellite-terrestrial integrated network environments, the research on efficiently defining new statistical QoS provisioning schemes while taking into account varying degrees of freedom has still been in their infancy. To remedy these deficiencies, in this paper we develop statistical QoS provisioning schemes over 6G satellite-terrestrial integrated networks in the finite blocklength regime. Particularly, we firstly introduce and review key technologies for supporting mURLLC.Secondly,we formulate a number of novel fundamental statistical-QoS metrics in the finite blocklength regime.Finally,we conduct a set of simulations to validate and evaluate our developed statistical QoS provisioning schemes over satellite-terrestrial integrated networks.

Impairment-aware QoS provisioning in dual-header OBS networks

Signal degradation due to physical impairments may result in unacceptable bit-error rates of received signals at the destination. Based on earlier work, we study the impairment-aware quality of service （QoS） provisioning problem in dual-header optical burst switching （OBS） networks that employ two control packets for each data burst. At an OBS node, the proposed algorithm schedule bursts for transmission by searching for available resources using admission control and preemption. The algorithm also verifies signal quality. Simulation results show that this algorithm is effective in providing QoS support in OBS networks while considering physical impairment effects.

融合的蜂窝网络/无线局域网中资源管理的性能分析(英文)

Wireless Local Area Network(WLAN) with high data bit rates can be used with cellular network to achieve higher level of Quality of Service(QoS) by sharing their total resources efficiently.The integration between cellular and WLAN networks should be ensured considering different channel-allocation strategies of both networks and efficient resource management techniques should be developed.In this paper,we propose a new call admission scheme to use the coupled resource effectively.The proposed scheme,by taking the different resource sharing strategies for two access networks,limits the new,horizontal and vertical handoff voice and data call arrivals with respect to their call-level QoS requirements.Numerical results show that the proposed integrated cellular/WLAN network model uses the resources more effectively and achieves all upper bound QoS requirements for voice and data users as compared with the non-integrated network model.

Adaptive virtual MIMO-based cross-layer design for wireless sensor networks via hybrid optimization model

In recent times,many MAC protocols were implemented for boosting and improving energy efficiency(EE)in WSNs.Moreover,the cooperative MIMO method is found to be much capable of enhancing the EE of WSNs if configured properly.This paper intends to propose cross-layer design for multihop virtual MIMO system to enhance the end-to-end(ETE)reliability,EE,and QoS of the adopted WSN.The protocol is set here to focus on the energy utilization for transmission of data packets by optimal selection of transmission constraints for each node of the network.Moreover,the protocol’s ETE latency and throughput are also modeled as the dependent variables of BER performance of every link.To discover the improved BER criteria of each link that meets the ETE QoS requirement in reduced energy utilization,this paper employs a new hybrid optimization algorithm named Lion Mutated Dragonfly Algorithm(LM–DA)that is a hybrid variant of both Lion Algorithm(LA)and Dragonfly Algorithm(DA).Finally,the performance of the adopted scheme is validated over other state-of-the-art models.The results state that the energy consumed by the adopted LM–DA approach is about 2.65%,1.77%,and 1.77%reduced over LA,PSO,and DA schemes,respectively.